Sensors
A sensor is a recognition → transduction → signal chain; its honest currency is drift multiplied by the calibration interval.
The cluster is built around the chain recognition → transducer → signal and its single honest currency: drift times the calibration interval. A one-off assay forgives slow creep; a continuous trend does not, so everything measured over weeks and months lives inside an error budget drawn between calibrations.
The cluster’s motifs: living biology as the sensing element — biofilm respirometry and luminescent bacteria buy a selectivity chemistry cannot make, and bring an instability chemistry cannot remove; the matrix matters more than the analyte — suspended solids, bubbles and fouling decide which principle survives a fermenter or a river at all; and soft sensors — when the quantity cannot be measured it is inferred from what can, and then the limit is the model’s validity domain, not the probe.
Start with biosensors & continuous monitoring: the chain and the error budget are set out there.
Articles 5
| Biosensors and continuous monitoring Every inline probe is the same three-stage chain — recognition, transduction, signal — and every failure mode is one stage quietly corrupting another. |
| Online water-quality biosensors Biodegradable load and toxicity are not molecules — they are what a living community can do, and only that community can measure them. |
| Real-time bio-toxin monitoring in water The recognition chemistry for cyanotoxins is the easy part; the matrix, the proxy problem and the asymmetry between false positives and false negatives design the system. |
| Food fermentation monitoring sensors A fermenting food is the worst sample an instrument can be asked to read — opaque, foaming, fouling and chemically redefining itself hour by hour. |
| Portable biomass analyzers No instrument measures biomass. Each measures a proxy, and every proxy has a named place where its transfer function breaks. |